IT & Software

DEVOPS ENGINEER MASTER PROGRAM

Become a job‑ready DevOps Engineer with multi‑cloud, Kubernetes‑first program that covers CI/CD, Terraform, Docker, GitOps, Azure Databricks Asset Bundles, and real‑world automation pipelines. Designed for students and working professionals, this hands‑on program prepares you to build, deploy, and scale enterprise‑grade DevOps systems from day one.

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Created by Raj English 0m 0 lecturesall levels

What you'll learn

Understand DevOps culture, CI/CD principles, Agile workflows, and modern software delivery practices.
Use Git, GitHub, GitLab, and version control strategies followed by enterprise teams.
Design and implement CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, and Azure DevOps.
Automate build, test, security scans, and deployment workflows for real applications.
Build and manage Docker containers for microservices.
Deploy and scale applications on Kubernetes using Deployments, Services, Ingress, Helm, and GitOps (ArgoCD).
Provision and manage cloud infrastructure using Terraform, Ansible, and CloudFormation.
Build reusable IaC modules and automate multi‑environment deployments.
Work confidently across AWS, Azure, and GCP.
Deploy workloads on EKS, AKS, and GKE with production‑ready configurations.
Use Databricks CLI v1 and Asset Bundles to deploy notebooks, workflows, DLT pipelines, and jobs.
Build multi‑environment CI/CD pipelines for Databricks using GitHub Actions and Azure DevOps.
Integrate Databricks with Terraform and Unity Catalog for enterprise‑grade automation.
Set up Prometheus, Grafana, and Alertmanager for metrics and alerting.
Use ELK/EFK stack for centralized logging and troubleshooting.
Use AI tools like GitHub Copilot and LLM‑based automation to optimize CI/CD, monitoring, and workflows.
Build agentic DevOps assistants for alerting and troubleshooting.
Complete hands‑on labs, mini‑projects, and a full capstone project simulating enterprise DevOps pipelines.
Deploy end‑to‑end systems using CI/CD, Kubernetes, Terraform, cloud services, and Databricks.
Gain the skills required for roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer, CI/CD Engineer, and Automation Engineer.
Build a strong project portfolio to showcase to employers.

Requirements

  • • To ensure the best learning experience, students enrolling in the DevOps Engineer Master Program should have
  • • Technical Requirements : A laptop with minimum 8GB RAM (16GB recommended for Docker, Kubernetes, and cloud labs) Windows, macOS, or Linux operating system Stable internet connection for live classes and hands‑on labs Basic computer literacy (file handling, installing software, using browsers)
  • • Learning Mindset : Willingness to practice consistently Commitment to complete labs, mini‑projects, and capstone Curiosity to explore cloud technologies and automation

Description

The Tech Prowexa DevOps Engineer Master Program is industry‑aligned training designed to transform students and working professionals into job‑ready DevOps Engineers. This program blends multi‑cloud DevOps, Kubernetes, CI/CD, Infrastructure as Code, GitOps, Monitoring, and the latest Azure Databricks Asset Bundles deployment model, making it one of the most advanced DevOps curriculums in India. Built with real‑world engineering standards, the program focuses on hands‑on labs, live projects, enterprise workflows, and capstone deployments that mirror what top tech companies expect from modern DevOps teams. You will learn how to build, automate, deploy, monitor, and scale applications across AWS, Azure, GCP, and Kubernetes, while mastering tools like GitHub Actions, Jenkins, Terraform, Docker, Helm, ArgoCD, Prometheus, Grafana, ELK, and Databricks CLI v1. By the end of the program, you will be able to design and implement complete DevOps pipelines — from code to production — using best practices followed by global engineering teams. A dedicated module on Azure Databricks DevOps gives you the ability to deploy notebooks, workflows, Delta Live Tables, and ML pipelines using Asset Bundles, the new standard for Databricks CI/CD. This makes you uniquely skilled for data‑driven enterprises adopting modern cloud architectures. Whether you are a beginner or an experienced professional, this program equips you with the technical depth, practical experience, and project portfolio required to secure high‑growth DevOps roles such as DevOps Engineer, Cloud Engineer, SRE, Platform Engineer, CI/CD Engineer, or Automation Engineer.

Course Curriculum

0 sections • 0 lectures • 0m total length

About the Instructor

R

Raj

An experienced instructor passionate about teaching.